A centre of expertise in digital information management UKOLN is supported by: Evolution or revolution? The changing data landscape Dr Liz Lyon, Associate Director, UK Digital Curation Centre Director, UKOLN, University of Bath, UK 2nd DCC Regional Roadshow, Sheffield, March This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0

“Data sets are becoming the new instruments of science” Dan Atkins, Univ Michigan

Digital data as the new special collections? Sayeed Choudhury, Johns Hopkins

Research data : institutional crown jewels? /

Perspectives Environmental scan –Scale and complexity –Infrastructure –Open science Policy –Funders –Institutions –Ethics & IP Practice Challenges –Storage –Incentives –Costs & Sustainability

“Surfing the Tsunami” Science: 11 February 2011

“I worry there won’t be enough people around to do the analysis.” Chris Ponting, University of Oxford “The costs of sequencing DNA has taken a nosedive...and is now dropping by 50% every 5 months”. “A single sequencer can now generate in a day what it took 10 years to collect for the Human Genome Project”. “The 1000 Genomes Project generated more DNA sequence data in its first 6 months than GenBank had accumulated in its entire 21 year existence”.

“the amount of data generated worldwide...is growing by 58% per year; in 2010 the world generated 1250 billion gigabytes of data” The Digital Universe Decade – Are You Ready? IDCC White Paper, May 2010

PDB GenBank UniProt Pfam Spreadsheets, Notebooks Local, Lost High throughput experimental methods Industrial scale Commons based production Publicly data sets Cherry picked results Preserved CATH, SCOP (Protein Structure Classification) ChemSpider Data collections Slide: Carole Goble

Complex data pipelines Multiple datasets Visualise: Cytoscape Workflow: Taverna

Distributed gene expression & clinical traits data Taverna workflows capture the complex model construction process Derive large-scale predictive network models of disease Integrative genomics

A centre of expertise in digital information management Structural Sciences Infrastructure

Infrastructure Roadmap Cross Organisations

Infrastructure Roadmap Cross Disciplines

Infrastructure Roadmap Open Science

Citizen as scientist

Validate results data

Patients Participate! Project Sage Congress San Francisco April 2010 Citizen-patients producing crowd-sourced lay summaries of UK PubMed papers

Policy

NSF-OCI TASK FORCE on Data and Visualization : Report coming soon….

International collaboration around the DCC DMPOnline tool

INCREMENTAL Project Institutional perspective Creating & organising data Storage and access Back-up Preservation Sharing and re-use The majority of people felt that some form of policy or guidance was needed....

Jeff Haywood, RDMF V October

“While many researchers are positive about sharing data in principle, they are almost universally reluctant in practice using these data to publish results before anyone else is the primary way of gaining prestige in nearly all disciplines.” INCREMENTAL Project “Data sharing was more readily discussed by early career researchers.”

Alzheimer’s Disease Neuroimaging Initiative: a unique (open) $60M partnership between NIH, FDA, universities and drug companies. “It was unbelievable. Its not science the way most of us have practiced in our careers. But we all realised that we would never get biomarkers unless all of us parked our egos and intellectual property noses outside the door and agreed that all of our data would be public immediately.” Dr John Trojanowski, University of Pennsylvania

Data is headline news JISC FoI FAQ

P4 medicine: Predictive, Personalised, Preventive, Participatory. Leroy Hood – Institute for Systems Biology Your genome is basis for your medical record

Open data and ethics Buy a DIY kit? Share your data?

Open data and ethics Bring your genes to CAL UC Berkeley personalised medicine initiative >700 new students have submitted a genetic sample and a consent form Aggregate analyses for three genes related to nutrition Implications for UK HE students & staff?

Policy Gaps... Is Policy disconnected from Practice? –Data Sharing –Data Licensing –Ethics and Privacy –Citizen Science & Public Engagement –Data Storage, Selection & Appraisal –Data Citation and Attribution

“Departments don’t have guidelines or norms for personal back-up and researcher procedure, knowledge and diligence varies tremendously. Many have experienced moderate to catastrophic data loss” Incremental Project Report, June

Data storage... The case for cloud computing in genome informatics. Lincoln D Stein, May 2010 –Scaleable –Cost-effective (rent on-demand) –Secure (privacy and IPR) –Robust and resilient –Low entry barrier / ease-of-use –Has data-handling / transfer / analysis capability Cloud services?

Your data in the cloud

Janet Brokerage & Connectivity Services Janet Brokerage & Connectivity Services Common Cloud Service Bus (CSB) JISC Community CloudConsortium Eduserv MIMAS Other Public Clouds Amazon AWS Microsoft Azure Private Clouds University A University B University C University D University E University F University G Community Services EduBox Disaster Recovery VM launch pad VM launch pad DCC Services Access Control … … HEFCE UMF cloud infrastructure model : new DCC role

Incentivising data management

Beyond the PDF Workshop, January 2011 Concept of “reproducibility” Executable papers Data papers Links to data, workflows, analyses (GenePattern) within a document Post-publication peer review Alternative impact metrics : downloads, slide reuse, data citation, YouTube views etc. La Jolla Manifesto : guiding principles for digital scholarship Jodi Schneider, Ariadne, Issue 66, January 2011

DataCite sagecitedemorepository Data Produces Register Generate landing page for data DOIsDOIs Mint DataCite API Google API Resolve to landing page Taverna workflow The relationships between data via DataCite DOIs with tools are captured by the provenance (OPM) produced by Taverna Workflow metadata For referring to data reported in the provanance? Slide : Peter Li

Sustainability: Who owns? Who benefits? Who selects? Who preserves? Who pays?

KRDS

Research Outputs Citations, References User registration data; Instrument allocation data etc. Comments, annotations, ratings etc. Risk assessment data; other sample data Process & Analyse Derived Data Research Concept and/or Experiment Design Start Project Peer-review Proposal Conduct Experiment Generate, Create, & Collect Raw Data Check & Clean Raw Data Interpret & Analyse Results Data Archive, Preservation & Curation (OAIS conformant; Representation Information etc.) IPR, Embargo & Access Control Discover, Access, Validate, Reuse & Repurpose Data Publish Research Results DataDerived DataProcessed DataRaw Data Documentation, Metadata & Storage (Reference, Provenance, Context, Calibration etc.) Acquire Sample Write Proposal (include DMP) Scholarly Knowledge Write Usage Report Research ActivityAdministrative Activity Curation Activity Information Flow KEY: Peer Review Prepare Manuscript Prepare Supplementary Data Publications Database Publication Activity An Idealised Scientific Research Activity Lifecycle Model Appraisal & Quality Control Programs (generate customised software) Papers, articles, presentations, reports An Idealised Scientific Research Data Lifecycle Model

Activity e.g. Write proposal, conduct experiment, analyse raw data Key resources to measure e.g. Time spent, staff salary Metrics e.g. Time savings for researcher, times savings for facility, increased output, % data available for re-use Qualitative impacts e.g. Research quality, knowledge transfer to industry KRDS Activity Model Benefits & Metrics Use Case 1 : National Crystallography Service Use Case 2 : Researcher in the lab

Thank you… Research Data Management Forum 6 Planning for Research Data Management: “Meeting funder imperatives” 5-6 May 2011, University of Leicester